Latent growth curve modeling (LGM)—a special case of confirmatory factor analysis designed to model change over time—is an indispensable and increasingly ubiquitous approach for modeling longitudinal data. This volume introduces LGM techniques to researchers, provides easy-to-follow, didactic examples of several common growth modeling approaches, and highlights recent advancements regarding the treatment of missing data, parameter estimation, and model fit. The book covers the basic linear LGM, and builds from there to describe more complex functional forms (e.g., polynomial latent curves), multivariate latent growth curves used to model simultaneous change in multiple variables, the inclusion of time-varying covariates, predictors of aspects of change, cohort-sequential designs, and multiple-group models. The authors also highlight approaches to dealing with missing data, different estimation methods, and incorporate discussion of model evaluation and comparison within the context of LGM. The models demonstrate how they may be applied to longitudinal data derived from the NICHD Study of Early Child Care and Youth Development (SECCYD).. Key Features · Provides easy-to-follow, didactic examples of several common growth modeling approaches · Highlights recent advancements regarding the treatment of missing data, parameter estimation, and model fit · Explains the commonalities and differences between latent growth model and multilevel modeling of repeated measures data · Covers the basic linear latent growth model, and builds from there to describe more complex functional forms such as polynomial latent curves, multivariate latent growth curves, time-varying covariates, predictors of aspects of change, cohort-sequential designs, and multiple-group models
Latent growth curve modeling (LGM)—a special case of confirmatory factor analysis designed to model change over time—is an indispensable and increasingly ubiquitous approach for modeling longitudinal data. This volume introduces LGM techniques to researchers, provides easy-to-follow, didactic examples of several common growth modeling approaches, and highlights recent advancements regarding the treatment of missing data, parameter estimation, and model fit. The book covers the basic linear LGM, and builds from there to describe more complex functional forms (e.g., polynomial latent curves), multivariate latent growth curves used to model simultaneous change in multiple variables, the inclusion of time-varying covariates, predictors of aspects of change, cohort-sequential designs, and multiple-group models. The authors also highlight approaches to dealing with missing data, different estimation methods, and incorporate discussion of model evaluation and comparison within the context of LGM. The models demonstrate how they may be applied to longitudinal data derived from the NICHD Study of Early Child Care and Youth Development (SECCYD).. Key Features · Provides easy-to-follow, didactic examples of several common growth modeling approaches · Highlights recent advancements regarding the treatment of missing data, parameter estimation, and model fit · Explains the commonalities and differences between latent growth model and multilevel modeling of repeated measures data · Covers the basic linear latent growth model, and builds from there to describe more complex functional forms such as polynomial latent curves, multivariate latent growth curves, time-varying covariates, predictors of aspects of change, cohort-sequential designs, and multiple-group models
The definitive reference in the field for more than 35 years, Creasy and Resnik's Maternal-Fetal Medicine provides today’s MFM practitioners with authoritative, comprehensive guidance on every aspect of this fast-changing field. The fully revised 9th Edition brings you up to date with the latest evidence-based guidelines and research as well as the fundamental scientific foundation needed for effective practice, helping you minimize complications and ensure the best possible outcomes for your patients. Renowned experts in obstetrics, gynecology, and perinatology provide valuable information in every area of complex obstetric care, highlighting the most commonly encountered anomalies and providing clear guidelines for obstetric and neonatal management. Offers comprehensive updates on rapidly changing topics, including extensively revised genetic content throughout. Includes two new chapters: maternal and fetal viral infections, including COVID-19; and sexually transmitted disease, covering the epidemiology, pathogenesis, diagnosis, and treatment of individual infectious diseases that may complicate pregnancy. Contains user-friendly features such as numerous diagnostic and treatment algorithms for quick access to current protocols; key points at the end of each chapter; and counseling pearls with practical guidance on patient consultation. Features a comprehensive imaging section, including a video library to aid in everyday diagnosis. Shares the expertise of a renowned editorial team—including new co-editors Drs. Lorraine Dugoff and Judette M. Louis—who lead authors representing top institutions from around the globe.
The Individual and the Political Order examines major theoretical perspectives, both historical and contemporary, in major issues in social and political philosophy. It combines accessibility with appreciation of philosophical complexity and discusses applied issues, such as morality and war, as well as theoretical approaches to justice, rights, and democratic liberal thought.
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